1. Project Junior Research Fellow / Project Assistant

Last Date: 11th Nov 2013

Qualification B.Tech (Comp. Sci.), B.Tech/M.Tech (Bioinformatics), MCA, M.Sc. (Mathematics/Statistics)

Desirable Qualifications: Programming in FORTRAN/ C /PERL, Web application technologies

Upper Age limit 28

Rs.12000 / Rs.16000 (as sanctioned by the funding agency)

General terms and conditions:

Positions are purely temporary and co-terminus with the project.

HRDG (CSIR) prevailing guidelines are applicable these positions.

All categories of applicants are required to submit online application.

Enhancement of stipend to Project JRF to Project SRF will be with the due recommendation of Principal Investigator and approval of the Director on the evaluation of the 3 member Standing Committee consisting of Chairperson at the level of Chief Scientist, Coordinator of the JRFs/RAs/PDFs and the Principal Investigator of the Project.

The age relaxation as per HRDG (CSIR) norms: SC/ST/OBC/Women/Physically Handicapped persons – five years.

The Stipend normally be fixed at Rs.22000/- for Research Associates/Post Doc. Fellows. However, a selected RA/PDF may be placed in the higher start of stipend if there is ample justification and such recommendation is made by the Selection Committee. Based on the recommendation with justification by the PI and approval of the Director, person getting stipend at lower rate may be elevated to higher rate subject to availability of the funds in the project.

Recruitment will be based on initial screening based on qualifications and experience criteria and also based on suitability of the candidates to the nature of research project. This screening will be followed by written test followed / interview. After completing this process, candidates will be shortlisted and appointed in specific project subjects as and when appropriate positions become available. The pool of selected candidates will be valid for six months.

Remunerations indicate are maximum admissible and will depend upon the availability of funds and subject to conditions applicable to projects from different funding agencies at the time of recruitment.

Apply : http://www.ccmb.res.in/positions/projects/temp_positions.php

Form download : http://www.ccmb.res.in/positions/projects/oct-2013/pdf_download.php

1. NCBI (National Center for Biotechnology Information):

   • NCBI provides various databases related to genetic information, including 16S rRNA sequences.
   • You can access the 16S ribosomal RNA sequences from NCBI's Nucleotide database (https://www.ncbi.nlm.nih.gov/nucleotide/).
   • Perform a search using keywords like "16S rRNA" or specific bacterial names to find relevant sequences.
   • You can download sequences individually or in batches using the provided tools.

2. GreenGenes:

   • GreenGenes is a widely used 16S rRNA gene sequence database.
   • You can access it at http://greengenes.secondgenome.com/.
   • GreenGenes provides precompiled databases for various purposes, including classification, alignment, and phylogenetic analysis.

3. SILVA:

   • SILVA (https://www.arb-silva.de/) is another comprehensive database for ribosomal RNA (rRNA) sequences.
   • It covers not only 16S rRNA but also other ribosomal RNA sequences.
   • SILVA provides precompiled databases for various purposes, including taxonomic classification and alignment.

4. Ribosomal Database Project (RDP):

   • RDP (http://rdp.cme.msu.edu/) is a curated database that offers 16S rRNA sequences.
   • It provides tools for sequence analysis and classification.
   • You can download sequences and taxonomy information from their website.

5. QIIME (Quantitative Insights Into Microbial Ecology):

   • QIIME (https://qiime2.org/) is a widely used bioinformatics platform for microbiome analysis.
   • It provides tools for analyzing microbial communities, including processing 16S rRNA sequences.
   • QIIME often includes its own preprocessed 16S rRNA databases that can be used for analysis within the platform.

Before downloading any database, make sure to read the terms of use and citation requirements, as some databases may have specific usage policies. Additionally, consider the compatibility of the database with your analysis pipeline and software tools.

NCBI 16s RNA database location ftp://ftp.ncbi.nih.gov/blast/db/16SMicrobial.tar.gz

Lab page: http://www.oeb.harvard.edu/faculty/edwards/index.html

Research Area:
pancreatic cancer; ovarian cancer; prostate cancer; bowel cancer; brain cancer; endometrial cancer; breast cancer; personalised medicine; high-throughput genomics

Link @ http://www.imb.uq.edu.au/sean-grimmond

Last Date for Submitting Application: 25th November 2013

1. Senior Scientist: (01 position)
Pay Scale: Rs.40, 000/-
Qualifications: PhD/ Post Doctoral with Experience in CADD

2. Junior Scientist (10 positions)
Pay Scale: Rs. 22,000/-
Qualifications: MPhil / Masters Degree in Bioinformatics / Computational Biology / CADD / Ayurveda

3. Technical Assistant (01+01 positions)
Pay Scale: Rs.12,000/-
Qualifications: 1. BSc Computer Science/ MCA
Qualifications: 2. MSc Biotechnology / MSc Microbiology

4. Programmer (01 position)
Pay Scale: Rs.20,000/-
Qualifications: MSc Computer Science/ MCA / B Tech (Experience in MATLAB, C, C++) Industrial experience is desirable

5. Teaching Assistant (03 positions)
Pay Scale: Rs.10,000/-
Qualifications: MSc in Bioinformatics

6. Administration Assistant (02 positions)
Pay Scale: Rs.8,000/-
Qualifications: Degree + PGDCA

The Selection process comprises of written test and interview. Positions are purely temporary (initially for the period of one year) and co-terminus with the project. For more details mail to: cbi.uok [at] gmail.com

More detail @ https://sites.google.com/site/centreforbioinformatics/announcements/applicationsinvitedforapplicationforai-caddproject

WALK-IN-INTERVIEW

The following vacancies shall be filled purely on adhoc basis under Non-Institutional adhoc project “Bioinformatics in ICMR Institutes” funded by Indian Council of Medical Research at Vector Control Research Centre, Puducherry, to be renewed annually and filled through Walk-in-Interview as indicated below. Candidates who wish to appear for the Walk-in-Interview can download the application format given in the website of Vector Control Research Centre (www.vcrc.res.in). Duly filled in application along with attested copies of certificate should be submitted at time of interview.

Date & Time : 05.12.2013 at 9.00 AM – Scientist-C (Non-Medical)

05.12.2013 at 1.30 PM – Scientist-B (Non-Medical)
06.12.2013 at 9.00 AM – Technical Assistant (Research Assistant)
06.12.2013 at 1.30 PM – Multi Tasking Staff (General)

Place : Vector Control Research Centre, Puducherry

Project entitled : Biomedical Informatics Centres of ICMR

1. Scientist - C (Non-Medical) Number of post – ONE

Essential qualification

B.E./ B. Tech. Degree in Bioinformatics/ Computational Biology from a recognized University with 6 years experience in the relevant field OR

First class Master’s Degree and Ph.D. Degree in Bioinformatics/ Computational Biology from a recognized University OR

First class Master’s Degree in Bioinformatics/ Computational Biology from a recognized University with 4 years R & D experience in the related subjects as mentioned above OR

Second class Master’s Degree + Ph.D. in Bioinformatics/ Computational Biology from a recognized University with 4 years research experience in bio-medical subjects

Age: Not exceeding 40 years Consolidated Salary – Rs.39,960/- p.m. + HRA as
admissible

Desirable qualification (i) Post-doctorate in Bioinformatics/ Computational Biology or M.E. / M. Tech. Degree in Bioinformatics/ Computational Biology from a recognized University for candidates with First Class relevant degree.

(ii) Additional post-doctoral research / teaching experience in Bioinformatics/Computational Biology in recognized Institute(s).

(iii) Knowledge of computer applications or data management

Job requirements i) To apply Bioinformatics / Computational Biology tools in understanding interactions between vectors and parasites/ pathogens and target based development of drug / insecticides.

ii) To assist the investigators to carry out genomic studies on parasites/pathogens/vectors of vector borne diseases

Advertisement: http://vcrc.res.in/Adv_Bio13.pdf

The Law group provides internal Institute-specific development, training and support roles for data manipulation, sequence analysis and any other aspect of the analysis of biological data using computer systems. Additionally we provide databases and applications supporting the international animal science community, particularly tools and resources for genome mapping.

Head: Andy Law. Members: John Bowman (animal facility database applications), Zen Lu (bioinformatics support), Trevor Paterson (software development)

More @ http://www.bioinformatics.ed.ac.uk/groups/roslin-bioinformatics-group

https://www.crick.ac.uk/research/labs/charles-swanton

- Development of computational methods to investigate the interplay between epigenetic and genetic layers and their role in tumor progression, by integrating genomic, epigenomic and transcriptional data. PI: Mattia Pelizzola (http://tiny.cc/comEpi)
- Epigenome and transcriptome analysis in mouse models of Hepatocellular Carcinoma. PI: Bruno Amati - Small and long non-coding RNAs in cancer stem cells. PI: Francesco Nicassio

All projects will benefit from the availability of both in-house and publicly available next-generation sequencing datasets. Familiarity with Linux environment, programming skills (especially in R) and a background in either computational biology, or physics/engineering/math will be advantageous.

Deadline for the application January 6th, to apply: http://genomics.iit.it/resources.html

Start date: March 1st, 2014

Duration: 1+2 years

Contact Person (Referent): Mattia Pelizzola

Ref. E-Mail: mattia.pelizzola@iit.it

Tel: 0039-02-94375058
Group Web Page: http://genomics.iit.it

CGHub
https://cghub.ucsc.edu/
Comprehensive data repository; huge data size

EGA
https://www.ebi.ac.uk/ega/
Comprehensive data repository; huge data size

COSMIC
http://cancer.sanger.ac.uk
Largest somatic mutation database; genome sequencing paper curation

CPRG
http://www.broadinstitute.org/software/cprg
Interface for cancer program resources

GDAC
http://gdac.broadinstitute.org/
Data analysis; automatic pipelines; user-friendly reports

SNP500Cancer
http://snp500cancer.nci.nih.gov
Sequence and genotype verification of SNPs

canEvolve
www.canevolve.org/
Comprehensive analysis of tumor profile; Data from 90 studies involving more than 10,000 patients

MethyCancer
http://methycancer.psych.ac.cn
Relationship among DNA methylation, gene expression and cancer

SomamiR
http://compbio.uthsc.edu/SomamiR/
Correlation between somatic mutation and microRNA; genome-wide displaying

cBioPortal
http://www.cbioportal.org/public-portal/
Graphical summaries; gene alteration; processed data; visualization

UCSC Cancer Genomics Browser
https://genome-cancer.soe.ucsc.edu/
Clinical information; gene expression; copy number variation; visualization

CGWB
https://cgwb.nci.nih.gov/
Visualization; gene mutation and variation; automated analysis pipeline

GDSC
http://www.cancerrxgene.org
Drug sensitivity information; drug response information

canSAR
https://cansar.icr.ac.uk/
Multidisciplinary information; drug discovery

NONCODE
http://www.noncode.org/ ncRNAs;
lncRNAs; up-to-date and comprehensive resource